SAP IT Business Systeme

Data Engineer - Integration & AI

SAP IT Business Systeme Prague, Czechia

Software Development · 10,001+ employees

4 h ago
data-engineer Mid (2-5 yrs) Full-time Czechia
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About the role

Design, develop, and maintain integration solutions using SAP Integration Suite and Databricks to connect enterprise systems. Collaborate with AI experts to implement AI-enabled capabilities for improved data quality and processing.

What they look for

Data engineering Integration Artificial intelligence SQL Python Java SAP Integration Suite Databricks Cloud technologies ETL/ELT Data pipelines Data preparation Data validation Data profiling SAP Business Technology Platform

Requirements

Requires a university degree in Computer Science, Engineering, Data Science, or a related field. Candidates must have foundational knowledge of SQL, Python or Java, and experience with AI/ML concepts and data pipelines.

Benefits

Health and well-being programs Flexible working models

Full description

Job Description

Are you interested in working at the intersection of data engineering, integration, and artificial intelligence? Do you enjoy connecting systems, working with data, and exploring how AI can improve the way businesses operate?

We are looking for a Data Engineer with a focus on Integration and AI to join our global team in Prague. In this role, you will work alongside integration and AI experts to design and develop data solutions that connect applications, APIs, databases, and modern data platforms.

You will have the opportunity to work with SAP Integration Suite, Databricks, cloud technologies, and AI-enabled solutions, while developing your skills in data engineering and enterprise integration.

What you'll bring

  • Essential knowledge of AI/ML concepts,with preferred experience working with AI/ML workflows or integrating AI-driven capabilities into applications and data solutions.
  • Foundational knowledge of SQL and programming skills in Python or Java.
  • Understanding of data pipelines, ETL/ELT concepts,and how data flows between applications and systems.
  • Familiarity with data preparation, data validation,and data profiling.
  • Interest in or exposure to cloud platforms and modern data technologies; experience with Databricks or similar  platforms is a plus.
  • Interest in enterprise integration and willingness to develop expertise in SAP Integration Suite and SAP Business Technology Platform.
  • Ability to work effectively in an international and collaborative environment.
  • Fluent English communication skills, both written and spoken.
  • A university degree in Computer Science, Engineering, Data Science, Information Technology, or a related field.

What you'll build

  • Be part of a global team of integration and AI experts working on innovative data and integration solutions.
  • Design, develop, test, and maintain integration solutions using SAP Integration Suite.
  • Integrate data from APIs, databases, applications, and other enterprise systems using SAP technologies and Databricks.
  • Apply AI-enabled capabilities to improve data quality checks, data validation, and data processing.
  • Work closely with AI experts and project teams to translate project requirements into robust and scalable data solutions.
  • Learn and apply SAP integration and data engineering best practices while working on real-world projects.

Where you belong

You will join a global team working at the intersection of integration, data engineering, and AI. Our team helps connect applications and data across complex enterprise landscapes and explores new ways to use AI to create intelligent and efficient data solutions.

You will collaborate with colleagues from different technical areas and have the opportunity to learn from skilled integration and AI specialists. Together, we build solutions that help customers make better use of their data and adopt modern cloud and AI technologies.

This is an opportunity to grow your technical skills while contributing to projects involving SAP Integration Suite, data engineering, cloud technologies, and AI.

Equal Employment Opportunity (EEO) Statement

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Additional Information

About SAP

With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.

As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.

 

We win with inclusion

 

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone, regardless of background, feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

 

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or complete your application, please send an email with your request to the Recruiting Operations Team: .

 

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

 

Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

 

Successful candidates might be required to undergo a background verification with an external vendor.

 

AI Usage in the Recruitment Process

 

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

 

Please note that any violation of these guidelines may result in disqualification from the hiring process.

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